2021年多尺度空气质量预报数据

研发团队依托国家重点研发计划项目《基于哥白尼观测的街区尺度空气质量精细化管理工具开发和示范应用》，课题组构建了WRF-Chimere/CMAQ-SIRANE/MUNICH的多尺度空气质量数值模拟平台，可以满足区域、街区等多尺度的环境空气质量预测预报以及减排决策辅助分析等功能。该数据集为该平台业务化生产的逐小时空气质量预报数据，时间覆盖范围为2021年1月1日-2021年12月31日，空间覆盖范围包括中国东部-京津冀地区-北京/沧州，空间分辨率分别为“18km-6km-2km”，涉及污染物包括PM2.5、PM10、SO2、NO2、CO、O3，数据格式为netcdf格式。该数据可用于空气污染数据再分析、污染成因分析、污染热点识别，并可为相关算法提供训练或模拟数据。

Supported by the National Key R&D Program of China titled "Development and Demonstration Application of Neighborhood-Scale Refined Air Quality Management Tools Based on Copernicus Observations", the R&D team constructed a multi-scale air quality numerical simulation platform integrating WRF-Chimere, CMAQ-SIRANE and MUNICH. This platform supports multi-scale ambient air quality forecasting and emission reduction decision-aided analysis for regional, neighborhood and other application scenarios. This dataset consists of hourly air quality forecast data generated via the operational production of the platform, with temporal coverage spanning from January 1, 2021 to December 31, 2021, and spatial coverage covering Eastern China, the Beijing-Tianjin-Hebei (BTH) region including Beijing and Cangzhou, with spatial resolutions of 18 km, 6 km and 2 km respectively. The covered pollutants include PM2.5, PM10, SO2, NO2, CO and O3, and the data is stored in netCDF format. This dataset can be applied to air pollution data reanalysis, pollution cause analysis and pollution hotspot identification, and can also provide training or simulation data for relevant algorithms.

搜集汇总

背景与挑战

背景概述

该数据集提供2021年京津冀地区逐小时空气质量预报数据，包含PM2.5等6种污染物的18km-2km多尺度数值模拟结果，适用于污染分析和算法训练。数据采用netcdf格式存储。